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Rate-Sensitive Load Shedding in Data Stream Systems Zhiwu YIN Shangteng HUANG Xun FAN Publication IEICE TRANSACTIONS on Information and Systems Vol.E90-D No.7 pp.1111-1112 Publication Date: 2007/07/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e90-d.7.1111 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Data Mining Keyword: load shedding, data streams mining, query processing, Full Text: PDF(76.7KB)>>
Summary: Traditional load shedding algorithms for data stream systems calculate current operator selectivity over several run periods and use them to determine where to shed load during the next run period. In this paper, we show that the current selectivity may change due to the implementation of load shedding. Our algorithm, called RLS, determines the optimum drop location by these changed selectivity rather than those pre-calculated values. Simulation results demonstrate that RLS achieves higher accuracy than traditional algorithms. | ||||||||||
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